Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/yyz666ai/learning-agent/assignment-reviewnpx skills add yyz666ai/Learning-Agent --skill assignment-reviewgit clone --depth 1 https://github.com/yyz666ai/Learning-AgentWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/yyz666ai/learning-agent/assignment-review)<a href="https://agentmods.dev/skills/yyz666ai/learning-agent/assignment-review"><img src="https://agentmods.dev/badge/skills/yyz666ai/learning-agent/assignment-review.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00037 | $0.00611 |
| Opus 5 | $0.00018 | $0.00305 |
| Sonnet 5 | $0.00007 | $0.00122 |
| Haiku 4.5 | $0.00004 | $0.00061 |
Grade A, and why
assignment-review scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
作业批改
同时核验结果、推理过程和帮助程度，生成可追溯证据；测试通过不等于掌握。
课后练习提交
课后练习不作为课堂推进门禁。学习者愿意提交时，直接在对话输入栏发送代码、运行结果、报错或问题：
- 接受学习者自然发送的内容，不要求逐项粘贴终端输出，也不另开提交表单。
- 如果只是报错或提问，交给
exercise-coach逐步答疑；如果明确要求批改，再读取任务标准与实际代码。 - 回答后把“学习者问题 + 教练总结”写入个人课堂笔记；重点问题进入复习卡。
- 一次运行成功不等于
mastered，也不影响学习者进入下一章。
需要判断工程质量、推理、迁移或长期掌握，且学习者明确要求批改时，再走下面的完整批改。
执行流程
- 读取任务标准、学习者原始产物、提示轨迹和相关知识点；不要把 Codex 曾给出的参考答案混入学习者产物。
- 按
references/review-rubric.md检查正确性、推理、测试、迁移和表达。只运行完成判定所需的最小相关测试。 - 根据实际帮助分类：无实质提示且能解释关键决策记为
independent；使用提示、共同修改或参考答案后完成记为assisted。 - 指出最重要的一个优点、一个问题和下一次独立动作。记录重复误区，但不因一次错误给学习者贴固定标签。
- 若本题使用过 L4，只有新的 L5 迁移产物可以产生 independent 证据。
- 使用
assets/review-record.json形成记录，并按掌握度策略计算允许的状态转换；mastered仍必须同时满足独立与延迟复习证据。 - 用户确认批改对象无误后，按
references/state-contract.md原子提交记录与事件。
边界
- 测试失败时说明失败位置和可验证的下一步，不代做整份作业。
- 测试通过不等于掌握，也不保证推理、边界条件或迁移能力正确。
- 仅仅复制参考答案不得归类为
independent。 - 目标仓库默认只读；修改目标代码需要用户明确授权。
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 5d ago First seen · 37 lines · 37 tokens per session scan A 4802bb1e78d1
assignment-review is a skill published in the GitHub repository yyz666ai/Learning-Agent (1 stars, last pushed 5d ago), licensed MIT. It adds 37 tokens to every session and 611 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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